Publications

Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Hiafeng Chen, Yan Liu (2023). Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. In NeurIPS 2023.

Yizhou Zhang, Karishma Sharma, Yan Liu (2023). Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. In ECIR 2023.

Yizhou Zhang, Zhaoheng Zheng, Ram Nevatia, Yan Liu (2022). Improving Weakly Supervised Scene Graph Parsing through Object Grounding. In ICPR 2022 (Submitted to ICLR 2021, which is earlier than ICCV 2021).

Yizhou Zhang, Defu Cao, Yan Liu (2022). Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. In NeurIPS 2022.

Karishma Sharma, Yizhou Zhang, Yan Liu (2022). COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. In ICWSM 2022.

Yizhou Zhang, Karishma Sharma, Yan Liu (2021). VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. In NeurIPS 2021.

Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu (2021). PolSIRD: Modeling Epidemic spread under intervention policies. In JHIR.

Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu (2021). Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. In KDD 2021.

Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu (2020). Domain Adaptive Network Embedding. In TBD.

Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin (2020). Active Domain Transfer on Network Embedding. In TheWebConf 2020.

Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin (2019). DANE: Domain Adaptive Network Embedding. In IJCAI 2019.

Yizhou Zhang, Xiaojun Ma, Guojie Song (2018). Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. In ICDM 2018.